Traffic sign recognition is critical for intelligent transportation systems and autonomous driving. Conventional convolutional neural networks (CNNs) typically utilize the ReLU activation function for its computational efficiency; however, alternative activation functions can improve computing effectiveness capacity ...

At the DRS conversation held on June 24, 2024, in Boston, researchers from Brunel University engaged in a discourse with ten audience members from diverse global backgrounds on the issue of user stigma in assistive product design. The purpose of this conversation was to...

This study used multiple methods to investigate the stigma experienced by visually impaired people (VIP) when using a camera-based assistive mobile application. Initial investigations, including semi-structured interviews with VIP and a formalised expert conversation with academics and designers, highlight...

Artificial intelligence (AI) is increasingly positioned as a transformative tool in agriculture, yet existing solutions primarily cater to large-scale farms in the Global North, often overlooking the socio-cultural and infrastructural realities of smallholder farmers in Africa. This workshop interrogates&#...

Background: Pain is a significant risk factor for depression among older adults. While prior studies suggest that internet media may improve mental well-being, it remains unclear whether such media can reduce pain-related depression. Objectives: This five-year longitudinal st...

In this paper, we propose a general digital twin edge computing network comprising multiple vehicles and a server. Each vehicle generates multiple computing tasks within a time slot, leading to queuing challenges when offloading tasks to the server. The study investigates task offloadin...

This paper presents a systematic review of machine learning (ML) applications in liquid-based photovoltaic-thermal (PV/T) systems, a topic that remains largely unaddressed in the existing review literature despite the growing importance of these hybrid systems in renewable energy. A total of...

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In this work, a novel double-covertness framework is developed for integrated sensing and communication (ISAC) systems, where both the radar and communication signals are protected from being maliciously detected by adversaries. Specifically, a new measurement named joint intercept probability (JIP)&#...